Training

Open and Reproducible Research: Tools

Instructor

Chang Chung worked as a Statistical Programmer and Data Archivist at the Office of Population Research at Princeton University. He earned his Ph.D. in Sociology from the University of South Carolina and M.S.E. in Systems Engineering from University of Pennsylvania.

This workshop introduces concepts, software tools, and best practices for making research more open and reproducible using R. Topics include: 1. Motivations for open and and reproducible research 2. Replication and Reproduction 3. Research Pipeline 4. Version control: git and github 5. Literate programming and presentation tools: LaTeX (.Rnw) and Rmarkdown(.Rmd) 6. Dependency management: make 7. Reproducible research check list.

Format

Presentation with quizzes/hands-on exercises

Requirements

Attendees should have some familiarity with R and RStudio, but do not need to bring a laptop because we will be using the PCs in the OPR computer lab which are equipped with all software necessary for the workshop.